代码搜索:Objective
找到约 3,719 项符合「Objective」的源代码
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c ex9.c
/* ----------------------------------------------------------------------------
ex9.C
mbwall 10apr95
Copyright 1995-1996 Massachusetts Institute of Technology
DESCRIPTION:
Sample program th
www.eeworm.com/read/102872/15754404
c ex9.c
/* ----------------------------------------------------------------------------
ex9.C
mbwall 10apr95
Copyright 1995-1996 Massachusetts Institute of Technology
DESCRIPTION:
Sample prog
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cpp filters.cpp
//
//
// General UI Campaign Entity category stuff for
//
// Big Map
// Order of Battle
//
//
//
#include "campbase.h"
#include "objectiv.h"
#include "unit.h"
#include "classtbl.h"
#i
www.eeworm.com/read/392021/8366825
m lcobj1.m
function [objective,constraints] = LCObj1(x,param,max_radius,dbg)
%function [objective,constraints] = LCObj1(x,param,max_radius,dbg)
% The objective and constraints function for the initial optimizati
www.eeworm.com/read/289026/8584441
c ex25.c
/* ----------------------------------------------------------------------------
ex25.C
mbwall jan96
Copyright (c) 1995-1996 Massachusetts Institute of Technology
DESCRIPTION:
This example
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cpp ga-1.cpp
// Genetic Algorithm for nonlinear programming
// Written by Microsoft Visual C++
// Copyright by UTLab @ Tsinghua University
// http://orsc.edu.cn/UTLab
#include
#include
www.eeworm.com/read/287462/8685807
cpp ga-2.cpp
// Genetic Algorithm
// Written by Microsoft Visual C++
// Copyright by UTLab @ Tsinghua University
// http://orsc.edu.cn/UTLab
#include
#include
#include
#inclu
www.eeworm.com/read/283640/9000890
cpp ga-1.cpp
// Genetic Algorithm for nonlinear programming
// Written by Microsoft Visual C++
// Copyright by UTLab @ Tsinghua University
// http://orsc.edu.cn/UTLab
#include
#include
www.eeworm.com/read/283640/9000904
cpp ga-2.cpp
// Genetic Algorithm
// Written by Microsoft Visual C++
// Copyright by UTLab @ Tsinghua University
// http://orsc.edu.cn/UTLab
#include
#include
#include
#inclu
www.eeworm.com/read/182900/9186637
m lcobj1.m
function [objective,constraints] = LCObj1(x,param,max_radius,dbg)
%function [objective,constraints] = LCObj1(x,param,max_radius,dbg)
% The objective and constraints function for the initial optimizati